The Internet of Things (IoT) space has expanded rapidly in the last decade. The technology consists of smart devices that link up with one another through mobile applications, providing companies with innovative solutions that were previously unavailable.
Artificial intelligence (AI) provides actionable solutions to common problems in various industries. It is especially useful in the world of healthcare, as AI is helping to solve a number of roadblocks that the industry has been facing for decades.
Hundreds of hospitals and other healthcare organizations have started to realize the benefits of custom software development. After all, generic healthcare software is incapable of handling the demands of a modern organization, and they create operational inefficiencies that slow companies down.
One of the most exciting technological advances of the last decade is blockchain, which offers a more secure platform for transferring data. Blockchain is essentially a decentralized peer-to-peer platform that effectively reduces the chances of a server being hacked.
We live in an increasingly digitized world where developers are using data to help companies gain valuable insights regarding their business. This information can be leveraged to determine flaws in an organization’s structure and operations, churning out smart solutions that reduce costs and increase revenue. This is especially true in the healthcare industry, where predictive analytics (PA) plays a key role in bolstering a patient’s treatment plan and reducing out-of-pocket costs.
Predictive analytics (PA) is transforming virtually every industry, from sports and banking to healthcare. This technology is essential in advancing the healthcare industry, as it offers a full-fledged idea of what a patient’s medical history looks like and compares it to data from patients with similar histories.
Machine learning has the potential to transform the healthcare industry, which routinely deals with large volumes of data, probabilities and real-time data streams from wearable sensors, along with other monitors and equipment. This technology can help us process and make sense of the data, which may then be used to improve patient care in significant ways. From improved treatment efficacy to greater insight into a patient’s condition and even reduced healthcare costs, machine learning will almost certainly prove to be a game changer for the health and wellness industry.
Mobile technology and the Internet of Things have become natural parts of our daily lives. We’re getting smart shopping lists from our refrigerators, tracking our daily activity levels, and connecting with family and friends all over the world. But healthcare technology has been slow to adopt these changes. Read More
A single hospital can store more than 3 petabytes of data at any given time. That’s equal to the contents of the entire Library of Congress. Considering that the United States has 5,546 registered hospitals, you can imagine the massive amounts of data created by our country’s healthcare system. Obviously, the need for data storage and processing is unavoidable, but data is not just a cumbersome side-effect of modern healthcare. It’s a massive opportunity for us to discover, understand and improve, with predictive analytics as the excavator.